Centralized control method, device and equipment for information machine rooms in multiple courtyards and medium

Abstract

The invention relates to the technical field of data processing, and provides a centralized control method, device, equipment and medium for multi-courtyard information machine rooms, which can perform modeling analysis according to historical environment control data of each courtyard information machine room to obtain a plurality of machine room environment influence factors and the weight of each machine room environment influence factor; the accuracy and efficiency of subsequent analysis are improved; a distributed cloud platform architecture is adopted to deploy edge nodes in each hospital area information machine room, environment data of each hospital area information machine room is collected in real time and reported to a cloud cluster, the problem of data islands is effectively solved, and calculation efficiency is improved through balanced configuration of IT resources; the cloud cluster is used for analyzing and processing based on the environment data and the weight of the environment influence factor of each machine room so as to perform centralized control on each hospital area information machine room, the management complexity is reduced, the management efficiency is improved, and the reliability and the stability of the machine room are improved through effective management of each hospital area information machine room.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a centralized control method, device, equipment and medium for multi-campus information computer rooms. Background Art

[0002] With the continuous advancement of medical information construction, the scale of medical group's information room is expanding, and the traditional independent operation model can no longer meet the needs of multi-hospital information room management.

[0003] Under the traditional model, each hospital campus independently operated its IT (Information Technology) infrastructure, resulting in information silos. Information systems across campuses were unable to effectively interconnect, limiting data exchange and sharing and impacting the quality of decision support. Furthermore, differences in geographic location, funding, and technical support among campuses led to significant imbalances in IT resource allocation, with some campuses using outdated equipment and inefficient energy use.

[0004] Due to information silos and uneven resource allocation, management efficiency across multiple campus computer rooms is generally low. Each campus operates its own environmental control system, requiring its own management team and maintenance processes, increasing labor costs and reducing operational efficiency. The management team faces the challenge of cross-campus coordination, as different campuses may employ varying technical standards and operational procedures, making unified management complex and time-consuming. Furthermore, information asymmetry and inefficient communication extend response times, impacting the reliability and stability of the overall system.

[0005] In order to solve the above problems, it is necessary to provide a centralized control method for multi-campus information computer rooms. Summary of the Invention

[0006] In view of the above, it is necessary to provide a centralized control method, device, equipment and medium for multi-campus information computer rooms, aiming to solve the problem of difficulty in effective management of multi-campus information computer rooms.

[0007] A centralized control method for multi-campus information computer rooms, the centralized control method for multi-campus information computer rooms comprising: Responding to centralized control instructions for multiple campus information rooms, obtaining historical environmental control data for each campus information room; Performing modeling analysis based on the historical environmental control data to obtain multiple computer room environmental impact factors and the weight of each computer room environmental impact factor; Adopting a distributed cloud platform architecture, edge nodes are deployed in the information computer rooms of each campus; Each edge node collects environmental data from each campus information room in real time based on the environmental impact factors of each room, and uploads the collected environmental data to the cloud cluster; wherein, the cloud cluster includes the temperature and humidity control cloud node, energy consumption monitoring cloud node, and security warning cloud node corresponding to each campus information room; Utilizing the cloud cluster to perform analysis based on the environmental data and the weights of the environmental influencing factors of each computer room to obtain analysis results; Centralized control of the information computer rooms in each hospital area is carried out based on the analysis results.

[0008] According to a preferred embodiment of the present invention, the modeling and analysis based on the historical environmental control data to obtain multiple computer room environmental impact factors and the weight of each computer room environmental impact factor includes: Constructing a computer room environment state prediction model based on the historical environment control data; wherein the computer room environment state prediction model is a multidimensional model including multiple sub-models; Calculate the SHAP value of each feature corresponding to the computer room environment state prediction model respectively; Determine the feature where the SHAP value is greater than or equal to a preset threshold as the multiple computer room environment influencing factors; Calculate the sum of the SHAP values corresponding to each computer room environmental impact factor; The quotient of the SHAP value corresponding to each computer room environment impact factor and the sum is calculated to obtain the weight of each computer room environment impact factor.

[0009] According to a preferred embodiment of the present invention, the use of each edge node to collect environmental data of each hospital information computer room in real time according to the environmental impact factors of each computer room includes: Use edge nodes to obtain real-time temperature and humidity data collected by high-precision temperature and humidity sensor arrays deployed in the information rooms of each campus; Use edge nodes to obtain real-time energy consumption data collected by smart meters deployed in the information rooms of each campus; Utilize each edge node to obtain in real time security data collected by security equipment deployed in the information room of each campus; wherein, the security equipment includes video surveillance systems, infrared detectors, smoke detectors and access control systems; The temperature and humidity data, the energy consumption data, and the safety data are integrated to obtain the environmental data.

[0010] According to a preferred embodiment of the present invention, the analyzing and processing using the cloud cluster based on the environmental data and the weights of the environmental impact factors of each computer room includes: For the temperature and humidity control cloud node, configuring temperature and humidity target values based on the PID control algorithm; Calculate the error between the real-time temperature and humidity of each hospital information computer room and the target temperature and humidity value based on the temperature and humidity data and the weight of the environmental influencing factors of each computer room; Use the Ziegler-Nichols algorithm to determine the proportional, integral, and differential coefficients; Based on the PID control algorithm, the temperature and humidity control amount is calculated according to the error, the proportional coefficient, the integral coefficient and the differential coefficient.

[0011] According to a preferred embodiment of the present invention, the analyzing and processing based on the environmental data and the weights of the environmental impact factors of each computer room by using the cloud cluster further includes: For the energy consumption monitoring cloud node, identify the energy consumption peak period and energy consumption valley period of the information computer room of each hospital area according to the energy consumption data; For the security warning cloud node, security incidents in the information computer rooms of each campus are detected based on the security data.

[0012] According to a preferred embodiment of the present invention, the centralized control of the information computer rooms of each campus according to the analysis results includes: For the temperature and humidity control cloud node, the temperature and humidity adjustment system of each hospital information room is controlled according to the temperature and humidity control amount, so that the real-time temperature and humidity of each hospital information room meets the temperature and humidity target value; For the energy consumption monitoring cloud node, control the temperature and humidity control system of the information room of each hospital area to reduce the cooling power to the preset value during the corresponding energy consumption low period; For the security warning cloud node, the alarm system that controls the information room of each hospital area generates an alarm prompt based on the corresponding security event.

[0013] According to a preferred embodiment of the present invention, the method further includes: When a new campus information computer room is added, a new edge node is deployed in the new campus information computer room, and a corresponding cloud node of the cloud cluster is added.

[0014] A centralized control device for a multi-campus information computer room, comprising: An acquisition unit, configured to respond to a centralized control instruction for multiple campus information computer rooms and acquire historical environmental control data for each campus information computer room; An analysis unit, configured to perform modeling analysis based on the historical environmental control data to obtain a plurality of computer room environmental impact factors and a weight of each computer room environmental impact factor; Deployment unit, used to deploy edge nodes in the information computer rooms of each campus using a distributed cloud platform architecture; The collection unit is used to use each edge node to collect environmental data of each campus information computer room in real time according to the environmental influencing factors of each computer room, and upload the collected environmental data to the cloud cluster; wherein the cloud cluster includes the temperature and humidity control cloud node, energy consumption monitoring cloud node, and security warning cloud node corresponding to each campus information computer room; The analysis unit is further configured to utilize the cloud cluster to perform analysis based on the environmental data and the weights of the environmental influencing factors of each computer room to obtain an analysis result; The control unit is used to centrally control the information computer rooms of each campus based on the analysis results.

[0015] A computer device, comprising: a memory storing at least one instruction; and The processor executes the instructions stored in the memory to implement the centralized control method of the multi-campus information computer room.

[0016] A computer-readable storage medium stores at least one instruction, and the at least one instruction is executed by a processor in a computer device to implement the centralized control method of the multi-campus information room.

[0017] It can be seen from the above technical solutions that the present invention can perform modeling and analysis based on the historical environmental control data of the information computer rooms in each hospital area, obtain multiple computer room environmental influencing factors and the weights of the environmental influencing factors of each computer room, and improve the accuracy and efficiency of subsequent analysis; adopt a distributed cloud platform architecture to deploy edge nodes in the information computer rooms in each hospital area, collect the environmental data of the information computer rooms in each hospital area in real time and report it to the cloud cluster, effectively solving the data island problem, and the balanced configuration of IT resources also improves computing efficiency; use the cloud cluster to perform analysis and processing based on the environmental data and the weights of the environmental influencing factors of each computer room to centrally control the information computer rooms in each hospital area, reduce management complexity, and improve management efficiency. The effective management of the information computer rooms in each hospital area also improves the reliability and stability of the computer rooms. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a preferred embodiment of the centralized control method of multi-campus information computer rooms of the present invention; Figure 2 This is a functional module diagram of a preferred embodiment of a centralized control device for a multi-campus information computer room of the present invention; Figure 3 It is a structural diagram of computer equipment of a preferred embodiment of the centralized control method of multi-campus information computer rooms of the present invention. DETAILED DESCRIPTION

[0019] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0020] like Figure 1 FIG. 1 is a flow chart of a preferred embodiment of the centralized control method for multi-campus information computer rooms of the present invention. The order of the steps in the flow chart can be changed and some steps can be omitted according to different requirements.

[0021] The centralized control method of the multi-campus information computer room is applied to one or more computer devices. The computer device is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions. Its hardware includes but is not limited to microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0022] The computer device may be any electronic product that can perform human-computer interaction with a user, such as a personal computer, a tablet computer, a smart phone, a personal digital assistant (PDA), a game console, an interactive network television (IPTV), a smart wearable device, etc.

[0023] The computer device may also include a network device and / or a user device, wherein the network device includes, but is not limited to, a single network server, a server group consisting of multiple network servers, or a cloud based on cloud computing consisting of a large number of hosts or network servers.

[0024] The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0025] Among them, Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0026] Fundamental AI technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interaction systems, and mechatronics. AI software technologies primarily encompass computer vision, robotics, biometrics, speech processing, natural language processing, and machine learning / deep learning.

[0027] The network where the computer device is located includes but is not limited to the Internet, wide area network, metropolitan area network, local area network, virtual private network (VPN), etc.

[0028] S10, in response to a centralized control instruction for multiple campus information computer rooms, obtaining historical environmental control data for each campus information computer room.

[0029] In this embodiment, the centralized control instruction can be triggered according to actual management needs. For example, when multiple hospital information rooms need to be jointly controlled, the centralized control instruction can be triggered.

[0030] In this embodiment, the historical environmental control data may include, but is not limited to: temperature, humidity, energy consumption, fault records, etc.

[0031] For example, the environmental control data of all campuses in the past three years, including temperature and humidity, energy consumption, fault records, etc., can be stored by year, month, day, campus, etc. as the historical environmental control data.

[0032] S11 , performing modeling analysis based on the historical environmental control data to obtain a plurality of computer room environmental impact factors and a weight of each computer room environmental impact factor.

[0033] In this embodiment, the modeling analysis based on the historical environmental control data to obtain multiple computer room environmental impact factors and the weight of each computer room environmental impact factor includes: Constructing a computer room environment state prediction model based on the historical environment control data; wherein the computer room environment state prediction model is a multidimensional model including multiple sub-models; Calculate the SHAP (SHapley Additive exPlanations) value of each feature corresponding to the computer room environment state prediction model respectively; Determine the feature where the SHAP value is greater than or equal to a preset threshold as the multiple computer room environment influencing factors; Calculate the sum of the SHAP values corresponding to each computer room environmental impact factor; The quotient of the SHAP value corresponding to each computer room environment impact factor and the sum is calculated to obtain the weight of each computer room environment impact factor.

[0034] Among them, the computer room environment status prediction model can be constructed by training machine learning models or artificial intelligence models such as neural networks.

[0035] The multiple sub-models may include, but are not limited to: an energy consumption prediction sub-model, an equipment failure prediction sub-model, etc.

[0036] The preset threshold value can be determined based on experiments.

[0037] Through the above embodiment, it is possible to perform multi-dimensional analysis and modeling on historical data to obtain the most influential computer room environment influencing factors, and at the same time determine the weights of each computer room environment influencing factor, thereby reducing the difficulty and computational complexity of subsequent data analysis, while improving the accuracy of the analysis, and providing a basis for formulating energy-saving strategies and preventive maintenance plans.

[0038] S12 uses a distributed cloud platform architecture to deploy edge nodes in the information computer rooms of each campus.

[0039] In this embodiment, the processing capability of the edge node may be 10 to 100 TFLOPS (Tera Floating Point Operations Per Second).

[0040] By deploying edge nodes, computing efficiency can be further improved.

[0041] S13, using each edge node to collect the environmental data of each campus information computer room in real time according to the environmental influencing factors of each computer room, and upload the collected environmental data to the cloud cluster; wherein, the cloud cluster includes the temperature and humidity control cloud node, energy consumption monitoring cloud node, and security warning cloud node corresponding to each campus information computer room.

[0042] In this embodiment, the environmental data may include, but is not limited to, one or a combination of the following data: temperature, humidity, energy consumption, safety data, etc.

[0043] Specifically, the use of each edge node to collect the environmental data of each hospital information room in real time according to the environmental impact factors of each room includes: Use edge nodes to obtain real-time temperature and humidity data collected by high-precision temperature and humidity sensor arrays deployed in the information rooms of each campus; Use edge nodes to obtain real-time energy consumption data collected by smart meters deployed in the information rooms of each campus; Utilize each edge node to obtain in real time security data collected by security equipment deployed in the information room of each campus; wherein, the security equipment includes video surveillance systems, infrared detectors, smoke detectors and access control systems; The temperature and humidity data, the energy consumption data, and the safety data are integrated to obtain the environmental data.

[0044] The parameters of the high-precision temperature and humidity sensor array may be: accuracy of ±0.1°C, ±1%RH (Relative Humidity). The high-precision temperature and humidity sensor array can be used to continuously monitor the temperature and humidity levels in the equipment room.

[0045] The parameters of the smart meter may be: accuracy ±0.2%. The smart meter may be used to monitor energy usage in the entire computer room.

[0046] The safety equipment may be used to monitor fire, flooding, intrusion, and other situations that may threaten the safety of the computer room.

[0047] Through the above embodiments, the environmental data of the information computer rooms in each hospital area can be collected in real time, so that the environmental status of the information computer rooms in each hospital area can be effectively controlled through real-time analysis of the environmental data.

[0048] In this embodiment, the total computing power of the cloud cluster can reach more than 500 TFLOPS, and the storage capacity ranges from 100TB to 1PB.

[0049] The cloud cluster utilizes a modular architecture, enabling effective functional division. By integrating collected environmental data, it achieves a balanced allocation of IT (Information Technology) resources, improving energy efficiency. Furthermore, by integrating environmental data from each campus's computer room, it effectively resolves information silos, ensuring effective interconnection and interoperability between information systems across campuses, enabling smooth data exchange and sharing and enhancing the quality of decision support.

[0050] S14: Utilize the cloud cluster to perform analysis based on the environmental data and the weights of the environmental impact factors of each computer room to obtain an analysis result.

[0051] In this embodiment, the analyzing and processing using the cloud cluster based on the environmental data and the weights of the environmental impact factors of each computer room includes: For the temperature and humidity control cloud node, the temperature and humidity target values are configured based on the PID (Proportion-Integral-Differential) control algorithm; Calculate the error between the real-time temperature and humidity of each hospital information computer room and the target temperature and humidity value based on the temperature and humidity data and the weight of the environmental influencing factors of each computer room; Use the Ziegler-Nichols algorithm to determine the proportional, integral, and differential coefficients; Based on the PID control algorithm, the temperature and humidity control amount is calculated according to the error, the proportional coefficient, the integral coefficient and the differential coefficient.

[0052] The target temperature and humidity values may include a target temperature value and a target humidity value. The target temperature and humidity values may be configured to be 20°C-25°C, and the target humidity value may be configured to be 45%-55%.

[0053] Among them, the error between each real-time temperature and humidity and the temperature and humidity target value can be calculated, and the product of each error and the corresponding weight can be calculated, and each calculated product can be summed to obtain the final error value.

[0054] In this embodiment, the analyzing and processing using the cloud cluster based on the environmental data and the weights of the environmental impact factors of each computer room further includes: For the energy consumption monitoring cloud node, identify the energy consumption peak period and energy consumption valley period of the information computer room of each hospital area according to the energy consumption data; For the security warning cloud node, security incidents in the information computer rooms of each campus are detected based on the security data.

[0055] Through the above embodiments, the environmental data can be effectively analyzed in combination with the weights of the environmental influencing factors of each computer room, making the analysis results more accurate.

[0056] S15, centrally controlling the information computer rooms of each campus based on the analysis results.

[0057] In this embodiment, the centralized control of the information computer rooms of each campus according to the analysis results includes: For the temperature and humidity control cloud node, the temperature and humidity adjustment system of each hospital information room is controlled according to the temperature and humidity control amount, so that the real-time temperature and humidity of each hospital information room meets the temperature and humidity target value; For the energy consumption monitoring cloud node, control the temperature and humidity control system of the information room of each hospital area to reduce the cooling power to the preset value during the corresponding energy consumption low period; For the security warning cloud node, the alarm system that controls the information room of each hospital area generates an alarm prompt based on the corresponding security event.

[0058] Through the above embodiments, the temperature and humidity can be controlled within a certain range, so that the temperature and humidity in the computer room are moderate; the cooling power can be reduced to a certain value during the corresponding low energy consumption period (such as automatically reducing the air conditioning operating power to 60%~80% between 23:00 and 6:00), which not only effectively saves energy, but also the response time can be controlled within 100 milliseconds; the alarm system of the information computer room in each campus is controlled to alarm for security incidents. Once an abnormality is detected, the on-duty personnel can be immediately notified by text message, email, etc., so that timely response measures can be taken.

[0059] In this embodiment, the method further includes: When a new campus information computer room is added, a new edge node is deployed in the new campus information computer room, and a corresponding cloud node of the cloud cluster is added.

[0060] For example: By leveraging the high scalability of the cloud computing platform, new campuses can be easily connected to the current system through standardized interfaces.

[0061] In this embodiment, the cloud cluster can also support flexible expansion of functional modules, such as introducing advanced data analysis tools or implementing more sophisticated environmental control strategies.

[0062] Experiments have shown that this embodiment uses centralized management of the data center to monitor the operating status of each campus in real time, and automatically optimizes energy distribution, predicts potential failures, and schedules maintenance based on the analysis results. This increases energy utilization by 10% to 20%, reduces equipment failure rates by 20% to 30%, and saves more than 1 million yuan in annual operation and maintenance costs.

[0063] It can be seen from the above technical solutions that the present invention can perform modeling and analysis based on the historical environmental control data of the information computer rooms in each hospital area, obtain multiple computer room environmental influencing factors and the weights of the environmental influencing factors of each computer room, and improve the accuracy and efficiency of subsequent analysis; adopt a distributed cloud platform architecture to deploy edge nodes in the information computer rooms in each hospital area, collect the environmental data of the information computer rooms in each hospital area in real time and report it to the cloud cluster, effectively solving the data island problem, and the balanced configuration of IT resources also improves computing efficiency; use the cloud cluster to perform analysis and processing based on the environmental data and the weights of the environmental influencing factors of each computer room to centrally control the information computer rooms in each hospital area, reduce management complexity, and improve management efficiency. The effective management of the information computer rooms in each hospital area also improves the reliability and stability of the computer rooms.

[0064] like Figure 2As shown, it is a functional module diagram of a preferred embodiment of the centralized control device of the multi-campus information computer room of the present invention. The centralized control device 11 of the multi-campus information computer room includes an acquisition unit 110, an analysis unit 111, a deployment unit 112, a collection unit 113, and a control unit 114. The module / unit referred to in the present invention refers to a series of computer program segments that can be executed by a processor and can perform fixed functions, which are stored in a memory. In this embodiment, the functions of each module / unit will be described in detail in subsequent embodiments.

[0065] The acquisition unit 110 is configured to acquire historical environmental control data of each hospital information room in response to a centralized control instruction for multiple hospital information rooms; The analysis unit 111 is configured to perform modeling analysis based on the historical environmental control data to obtain multiple computer room environmental impact factors and weights of the respective computer room environmental impact factors; The deployment unit 112 is used to deploy edge nodes in the information computer rooms of each campus using a distributed cloud platform architecture; The collection unit 113 is used to use each edge node to collect environmental data of each hospital information computer room in real time according to the environmental impact factors of each computer room, and upload the collected environmental data to the cloud cluster; wherein the cloud cluster includes the temperature and humidity control cloud node, energy consumption monitoring cloud node, and security warning cloud node corresponding to each hospital information computer room; The analysis unit 111 is further configured to utilize the cloud cluster to perform analysis based on the environmental data and the weights of the environmental influencing factors of each computer room to obtain an analysis result; The control unit 114 is used to centrally control the information rooms of each campus according to the analysis results.

[0066] It can be seen from the above technical solutions that the present invention can perform modeling and analysis based on the historical environmental control data of the information computer rooms in each hospital area, obtain multiple computer room environmental influencing factors and the weights of the environmental influencing factors of each computer room, and improve the accuracy and efficiency of subsequent analysis; adopt a distributed cloud platform architecture to deploy edge nodes in the information computer rooms in each hospital area, collect the environmental data of the information computer rooms in each hospital area in real time and report it to the cloud cluster, effectively solving the data island problem, and the balanced configuration of IT resources also improves computing efficiency; use the cloud cluster to perform analysis and processing based on the environmental data and the weights of the environmental influencing factors of each computer room to centrally control the information computer rooms in each hospital area, reduce management complexity, and improve management efficiency. The effective management of the information computer rooms in each hospital area also improves the reliability and stability of the computer rooms.

[0067] like Figure 3 The figure shows a schematic diagram of the structure of the computer equipment of a preferred embodiment of the centralized control method of multi-campus information rooms of the present invention.

[0068] The computer device 1 may include a memory 12, a processor 13 and a bus (the arrow in the figure represents the bus), and may also include a computer program stored in the memory 12 and executable on the processor 13, such as a centralized control program for multi-campus information rooms.

[0069] Those skilled in the art will understand that the schematic diagram is merely an example of the computer device 1 and does not constitute a limitation on the computer device 1. The computer device 1 may have either a bus structure or a star structure. The computer device 1 may also include more or less other hardware or software than shown in the figure, or a different arrangement of components. For example, the computer device 1 may also include input and output devices, network access devices, etc.

[0070] It should be noted that the computer device 1 is only an example. Other existing or future electronic products that are suitable for the present invention should also be included in the scope of protection of the present invention and included here by reference.

[0071] The memory 12 includes at least one type of readable storage medium, including flash memory, a removable hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 12 may be an internal storage unit of the computer device 1, such as a removable hard disk of the computer device 1. In other embodiments, the memory 12 may also be an external storage device of the computer device 1, such as a plug-in removable hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the computer device 1. Furthermore, the memory 12 may include both an internal storage unit of the computer device 1 and an external storage device. The memory 12 can be used not only to store application software installed in the computer device 1 and various types of data, such as the code of the centralized control program of the multi-campus information computer room, but also to temporarily store data that has been output or is about to be output.

[0072] In some embodiments, the processor 13 may be composed of an integrated circuit, such as a single packaged integrated circuit or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips. The processor 13 is the control core (Control Unit) of the computer device 1. It utilizes various interfaces and lines to connect the various components of the entire computer device 1. It executes or runs programs or modules stored in the memory 12 (for example, executing a centralized control program for information rooms in multiple campuses) and calls data stored in the memory 12 to perform various functions of the computer device 1 and process data.

[0073] The processor 13 executes the operating system of the computer device 1 and various installed applications. The processor 13 executes the applications to implement the steps in the above-mentioned embodiments of the centralized control method of the multi-campus information room, for example Figure 1 Steps shown.

[0074] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory 12 and executed by the processor 13 to implement the present invention. The one or more modules / units may be a series of computer-readable instruction segments capable of performing specific functions, which describe the execution process of the computer program in the computer device 1. For example, the computer program may be divided into an acquisition unit 110, an analysis unit 111, a deployment unit 112, a collection unit 113, and a control unit 114.

[0075] The above-mentioned integrated unit implemented in the form of a software functional module can be stored in a computer-readable storage medium. The above-mentioned software functional module stored in a storage medium includes a number of instructions for causing a computer device (which can be a personal computer, computer equipment, or network equipment, etc.) or a processor to execute the portion of the centralized control method for multi-campus information computer rooms described in various embodiments of the present invention.

[0076] If the modules / units integrated in the computer device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention can also implement all or part of the processes in the above-mentioned method embodiments by instructing relevant hardware devices through a computer program. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments.

[0077] The computer program includes computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory, etc.

[0078] Furthermore, the computer-readable storage medium may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function, etc.; the data storage area may store data created according to the use of the blockchain node, etc.

[0079] Blockchain, as used in this article, refers to a novel application model for computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms. Blockchain is essentially a decentralized database, a series of data blocks linked together using cryptographic methods. Each block contains information about a batch of online transactions, used to verify the validity of this information (to prevent counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, the platform product and service layer, and the application service layer.

[0080] The bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The figure shows that only one straight line is used, but it does not mean that there is only one bus or one type of bus. The bus is configured to realize the connection and communication between the memory 12 and at least one processor 13.

[0081] Although not shown, the computer device 1 may also include a power supply (such as a battery) to power various components. Preferably, the power supply can be logically connected to the at least one processor 13 via a power management device, thereby enabling functions such as charge management, discharge management, and power consumption management through the power management device. The power supply may also include one or more DC or AC power supplies, a recharging device, a power failure detection circuit, a power converter or inverter, a power status indicator, and other arbitrary components. The computer device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be further described here.

[0082] Furthermore, the computer device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the computer device 1 and other computer devices.

[0083] Optionally, the computer device 1 may further include a user interface, which may be a display or an input unit (such as a keyboard). Optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display may also be appropriately referred to as a display screen or display unit, and is used to display information processed by the computer device 1 and to display a visual user interface.

[0084] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0085] It will be understood by those skilled in the art that Figure 3 The structure shown does not constitute a limitation on the computer device 1 , and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0086] Combine Figure 1 The memory 12 in the computer device 1 stores a plurality of instructions to implement a centralized control method for multi-campus information rooms, and the processor 13 can execute the plurality of instructions to implement: Responding to centralized control instructions for multiple campus information rooms, obtaining historical environmental control data for each campus information room; Performing modeling analysis based on the historical environmental control data to obtain multiple computer room environmental impact factors and the weight of each computer room environmental impact factor; Adopting a distributed cloud platform architecture, edge nodes are deployed in the information computer rooms of each campus; Each edge node collects environmental data from each campus information room in real time based on the environmental impact factors of each room, and uploads the collected environmental data to the cloud cluster; wherein, the cloud cluster includes the temperature and humidity control cloud node, energy consumption monitoring cloud node, and security warning cloud node corresponding to each campus information room; Utilizing the cloud cluster to perform analysis based on the environmental data and the weights of the environmental influencing factors of each computer room to obtain analysis results; Centralized control of the information computer rooms in each hospital area is carried out based on the analysis results.

[0087] Specifically, the specific implementation method of the processor 13 for the above instructions can refer to Figure 1 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0088] It should be noted that the data involved in this case were all obtained legally. The software tools or components not produced by our company that appear in the embodiments of this application are merely examples and do not represent actual use.

[0089] In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the module division is merely a logical functional division, and actual implementation may employ other division methods.

[0090] The present invention can be used in a wide variety of general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present invention can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present invention can also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected via a communications network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0091] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed across multiple network elements. Some or all of the modules may be selected to achieve the purpose of the solution of this embodiment according to actual needs.

[0092] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or hardware plus software functional modules.

[0093] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0094] Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims rather than the foregoing description, and all changes that come within the meaning and range of equivalents of the claims are intended to be embraced therein. Any reference to a figure in a claim should not be construed as limiting the claim to which it relates.

[0095] Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices described in the present invention may also be implemented by a single unit or device through software or hardware. Terms such as first and second are used to indicate names and do not imply any particular order.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A centralized control method for information rooms in multiple campuses, characterized in that: The centralized control method of the multi-campus information computer room includes: Responding to centralized control instructions for multiple campus information rooms, obtaining historical environmental control data for each campus information room; Performing modeling analysis based on the historical environmental control data to obtain multiple computer room environmental impact factors and the weight of each computer room environmental impact factor; Adopting a distributed cloud platform architecture, edge nodes are deployed in the information computer rooms of each campus; Each edge node collects environmental data from each campus information room in real time based on the environmental impact factors of each room, and uploads the collected environmental data to the cloud cluster; wherein, the cloud cluster includes the temperature and humidity control cloud node, energy consumption monitoring cloud node, and security warning cloud node corresponding to each campus information room; Utilizing the cloud cluster to perform analysis based on the environmental data and the weights of the environmental influencing factors of each computer room to obtain analysis results; Centralized control of the information computer rooms in each hospital area is carried out based on the analysis results.

2. The centralized control method for multi-campus information computer rooms according to claim 1, characterized in that: The modeling analysis based on the historical environmental control data to obtain multiple computer room environmental impact factors and the weight of each computer room environmental impact factor includes: Constructing a computer room environment state prediction model based on the historical environment control data; wherein the computer room environment state prediction model is a multidimensional model including multiple sub-models; Calculate the SHAP value of each feature corresponding to the computer room environment state prediction model respectively; Determine the feature where the SHAP value is greater than or equal to a preset threshold as the multiple computer room environment influencing factors; Calculate the sum of the SHAP values corresponding to each computer room environmental impact factor; The quotient of the SHAP value corresponding to each computer room environment impact factor and the sum is calculated to obtain the weight of each computer room environment impact factor.

3. The centralized control method for multi-campus information computer rooms according to claim 1, characterized in that: The method of using each edge node to collect the environmental data of each hospital information room in real time according to the environmental impact factors of each room includes: Use edge nodes to obtain real-time temperature and humidity data collected by high-precision temperature and humidity sensor arrays deployed in the information rooms of each campus; Use edge nodes to obtain real-time energy consumption data collected by smart meters deployed in the information rooms of each campus; Utilize each edge node to obtain in real time security data collected by security equipment deployed in the information room of each campus; wherein, the security equipment includes video surveillance systems, infrared detectors, smoke detectors and access control systems; The temperature and humidity data, the energy consumption data, and the safety data are integrated to obtain the environmental data.

4. The centralized control method for multi-campus information computer rooms according to claim 3, characterized in that: The analyzing and processing using the cloud cluster based on the environmental data and the weights of the environmental influencing factors of each computer room includes: For the temperature and humidity control cloud node, the temperature and humidity target values are configured based on the PID control algorithm; Calculate the error between the real-time temperature and humidity of each hospital information computer room and the target temperature and humidity value based on the temperature and humidity data and the weight of the environmental influencing factors of each computer room; Determine the proportional, integral, and differential coefficients using the Ziegler-Nichols algorithm; Based on the PID control algorithm, the temperature and humidity control amount is calculated according to the error, the proportional coefficient, the integral coefficient and the differential coefficient.

5. The centralized control method for multi-campus information computer rooms according to claim 4, characterized in that: The analyzing and processing based on the environmental data and the weights of the environmental impact factors of each computer room by using the cloud cluster further includes: For the energy consumption monitoring cloud node, identify the energy consumption peak period and energy consumption valley period of the information computer room of each hospital area according to the energy consumption data; For the security warning cloud node, security incidents in the information computer rooms of each campus are detected based on the security data.

6. The centralized control method for multi-campus information computer rooms according to claim 5, characterized in that: The centralized control of the information computer rooms of each hospital area according to the analysis results includes: For the temperature and humidity control cloud node, the temperature and humidity adjustment system of each hospital information room is controlled according to the temperature and humidity control amount, so that the real-time temperature and humidity of each hospital information room meets the temperature and humidity target value; For the energy consumption monitoring cloud node, control the temperature and humidity control system of the information room of each hospital area to reduce the cooling power to the preset value during the corresponding energy consumption low period; For the security warning cloud node, the alarm system that controls the information room of each hospital area generates an alarm prompt based on the corresponding security incident.

7. The centralized control method for multi-campus information computer rooms according to claim 1, characterized in that: The method further comprises: When a new campus information computer room is added, a new edge node is deployed in the new campus information computer room, and a corresponding cloud node of the cloud cluster is added.

8. A centralized control device for information rooms in multiple campuses, characterized in that: The centralized control device of the multi-campus information computer room includes: An acquisition unit, configured to respond to a centralized control instruction for multiple campus information computer rooms and acquire historical environmental control data for each campus information computer room; An analysis unit, configured to perform modeling analysis based on the historical environmental control data to obtain a plurality of computer room environmental impact factors and a weight of each computer room environmental impact factor; Deployment unit, used to deploy edge nodes in the information computer rooms of each campus using a distributed cloud platform architecture; The collection unit is used to use each edge node to collect environmental data of each campus information computer room in real time according to the environmental influencing factors of each computer room, and upload the collected environmental data to the cloud cluster; wherein the cloud cluster includes the temperature and humidity control cloud node, energy consumption monitoring cloud node, and security warning cloud node corresponding to each campus information computer room; The analysis unit is further configured to utilize the cloud cluster to perform analysis based on the environmental data and the weights of the environmental influencing factors of each computer room to obtain an analysis result; The control unit is used to centrally control the information computer rooms of each campus based on the analysis results.

9. A computer device, characterized in that: The computer device comprises: a memory storing at least one instruction; and A processor executes instructions stored in the memory to implement the centralized control method of multi-campus information computer rooms as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction, and the at least one instruction is executed by a processor in a computer device to implement the centralized control method of a multi-campus information computer room as described in any one of claims 1 to 7.

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